Epidemic spreading model of complex dynamical network with the heterogeneity of nodes

Hong, Sheng; Yang, Hongqi; Zhao, Tingdi; Ma, Xiaomin

doi:10.1080/00207721.2015.1022890

Cited by 63 publications

(22 citation statements)

References 28 publications

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“…By means of complex network theory, many scholars explain microscopic mechanisms and dynamic characteristics of some practical issues in society. For example, complex network can be used to reveal the transmission mechanism of computer viruses [70][71][72], the spread process of epidemics [73,74], and the diffusion intensity of rumor [72,75]. For the researches on dynamics of complex network, many research achievements are based on the traditional model of virus spread, such as epidemic models.…”

Section: Theoretical Modelmentioning

confidence: 99%

Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network

Duan

2019

Complexity

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Risk contagion is becoming a research hotspot in the field of econophysics with the rise of interdisciplinary studies and gains more and more attention from theoretical circles and practical departments. This paper proposes a new research frame to discuss the microscopic mechanism of risk contagion based on agent modeling technology and complex network theory and reveals nonlinear dynamics characteristic of risk contagion from the perspective of market participants in financial market. Based on the proposed SICM model, financial risk can transmit from susceptible agents to infected agents, to contagious agents, or to immune agents. With the increases of contagious probabilities, the simulation experiments show that (1) the amount of susceptible agents continuously decreases; (2) the amount of infected agents increases first and then decreases; (3) the amount of contagious agents increases first and then decreases with a lower speed, relative to the amount of infected agents; and (4) the amount of immune agents continuously increases. The major contribution of this paper is a new method for studying nonlinear dynamics characteristic of risk contagion, which can be used as a theoretic basis for further researches on the behavioral features of microcosmic subject and the inner mechanisms of risk contagion.

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Section: Theoretical Modelmentioning

confidence: 99%

Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network

Duan

2019

Complexity

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“…On this subject, many researchers suggested using epidemic spreading models to study the spreading of information due to the resemblance between information propagation and human influenza viruses. For example, Hong et al (2016) studied the mobility of vehicular nodes by using epidemic spreading model; Kim et al (2018) carried out an analogy between the information flow propagation in connected vehicles and the dissemination of an influenza virus among individuals, and then presented an information propagation model considering the impacts of traffic flow; and Wang et al (2017) proposed an information propagation wave model following the epidemic spreading patterns to investigate the information dissemination by introducing an information packet relay control strategy.…”

Section: Information-spreading Models In Communication Networkmentioning

confidence: 99%

Spreading Patterns of Malicious Information on Single‐Lane Platooned Traffic in a Connected Environment

Wang

et al. 2018

Computer aided Civil Eng

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The connected vehicle can be easily attacked by cyber threats due to its communication through the wireless network in an open‐access environment. But very few studies have paid attention to the spreading of malicious information such as denial of service, message delay/replay, and eavesdropping generated by cyberattacks. To this end, this article introduces an analytical model, named vehicular malicious information propagation (VMIP), which integrates a classical epidemic model through two‐layer system structure, in which the upper layer describes the malicious information spreading and the lower describes the traffic flow dynamics. The proposed VMIP model is designated for platooned (one‐lane, particularly) traffic. Numerical experiments show the proposed model can efficiently describe the interactions between traffic dynamics and malicious information spreading; and the information propagation highly depends on traffic flow patterns. This article is expected to contribute to a better understanding of the impacts of cyberattacks on traffic and lays a foundation for future development of control strategies on mitigating the disastrous effects of cyberattacks.

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“…He proposed capacity allocation and load redistribution model respectively, and investigated an in-process restoration strategy [11,12]. Furthermore, he analyzed and modeled epidemic spreading model of complex dynamical network, which is helpful for the designing of effective control strategies [13].…”

Section: Related Workmentioning

confidence: 99%

Parallel Routing Method in Churn Tolerated Resource Discovery

Zhang¹,

Zhang²,

Yu³

et al. 2017

Proceedings of the 7th International Conference on Computer Engineering and Networks — PoS(CENet2017)

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Structured P2P network has good scalability, robustness and routing algorithm with high performance and low cost. Thus, in theory, structured P2P network is a good choice for network resource discovery. However, because of churn, it has bad performance and can't be used extensively in real world. To overcome this problem, a parallel routing method is presented. Network resource information is organized by the node group. The query is moved in node group by Random Walk, and among different groups by the routing algorithm of FreePastry. The parallel algorithm is proposed and its complexity is analyzed. The experiment results verify that the parallel routing algorithm cost is the same as FreePastry and the traffic load is a little bigger than that of FreePastry, but smaller than that of the other ones. The parallel method is tolerated to churn and is helpful for resource discovery of structured P2P network with churn.

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Epidemic spreading model of complex dynamical network with the heterogeneity of nodes

Cited by 63 publications

References 28 publications

Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network

Nonlinear Dynamics Characteristic of Risk Contagion in Financial Market Based on Agent Modeling and Complex Network

Spreading Patterns of Malicious Information on Single‐Lane Platooned Traffic in a Connected Environment

Parallel Routing Method in Churn Tolerated Resource Discovery

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